Probability of accept a hypothesis when it is wrong is known as a. Type II error b. Significance level c. Confidence level d. Type I error

UkusakazaL 2021-08-05 Answered
Probability of accept a hypothesis when it is wrong is known as _______
a. Type II error
b. Significance level
c. Confidence level
d. Type I error
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glasskerfu
Answered 2021-08-06 Author has 1 answers
Step 1
Answer:
d. Type I error.
Probability of accept a hypothesis when it is wrong is known as Type I error.
Step 2
Explanation:
Type I error, also known as a “false positive”: the error of rejecting a null. hypothesis when it is actually true. In other words, this is the error of accepting an. alternative hypothesis (the real hypothesis of interest) when the results can be. attributed to chance.
In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion. example: "an innocent person is convicted").

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